将“import json import re from bs4 import BeautifulSoup import json import re from bs4 import BeautifulSoup soup = BeautifulSoup(open('../上级医生查房记录4.html', encoding='utf-8'), features='html.parser') # 打开html sp = soup.find_all("span") # 查找所有span的内容 res1 = [span.get_text() for span in sp] # 给res赋予在sp中查询到的span内容 res2 = "".join(str(res1)) res3 = re.sub(r"[0-9]{4}-[0-9]{2}-[0-9]{2}", "", res2) res4 = re.sub(r"[0-9]{2}:[0-9]{2}", "", res3) # 去除包含时间格式的内容 result1 = [''.join(x.split()) for x in res4] # 拆分每个元素 rr = "".join(re.findall(r'\b\w+\b', str(result1))) # 合并每一个元素 r = re.sub(r"xa0", "", rr) r = re.sub(r"陆军军医大学第一附属医院西南医院", "\n陆军军医大学第一附属医院（西南医院）\n", r) r = re.sub(r"病历", "病例\n", r) r = re.sub(r"姓名| 姓名xx| 姓名xxx", "姓名:", r) r = re.sub(r"病区产科治疗区", " 病区:产科治疗区", r) r = re.sub(r"床号| 床号x| 床号xx| 床号xxx", " 床号:", r) r = re.sub(r"住院号| 住院号x| 住院号xx| 住院号xxx", " 住院号:", r) r = re.sub(r"ID号| ID号x| ID号xx| ID号xxx", " ID号:", r) r = re.sub(r"查房记录", "查房记录\n", r) r = re.sub(r"上级医师", "\n上级医师:", r) r = re.sub(r"第[0-9]页", "\n第页", r) r = re.sub(r"x", "", r) # s = re.compile('查房记录(.+)上级医师') # ss = s.findall(rr) # 整理格式 print(r)”转化为json并格式化

优化这段代码import requests from bs4 import BeautifulSoup url = "https://www.gupang.com/202305/64619.html" response = requests.get(url) soup = BeautifulSoup(response.content, "html.parser") title = soup.find("h1", class_="title").text content = soup.find("div", class_="content").text print(title) print(content)

from bs4 import BeautifulSoup url = "https://www.gupang.com/202305/64619.html" try: response = requests.get(url) response.raise_for_status() # 抛出异常，如果请求失败 except requests.exceptions....

修改代码，使得li_list的编码格式是utf-8import requests from bs4 import BeautifulSoup url = 'https://www.icbc.com.cn/page/827855918799994880.html' response = requests.get(url=url) page_response = response.text soup = BeautifulSoup(page_response, 'html.parser',from_encoding='utf-8') li_list = soup.select('#mypagehtmlcontent p')

from bs4 import BeautifulSoup url = 'https://www.icbc.com.cn/page/827855918799994880.html' response = requests.get(url=url) page_response = response.content.decode('utf-8') soup = BeautifulSoup(page_...

爬取该网址的图书封面信息import requestsfrom bs4 import BeautifulSoupurl = 'https://book.douban.com/subject/36321306/'response = requests.get(url)soup = BeautifulSoup(response.text, 'html.parser')img = soup.select_one('.nbg img')img_url = img['src']with open('book_cover.jpg', 'wb') as f: f.write(requests.get(img_url).content)

from bs4 import BeautifulSoup url = 'https://book.douban.com/subject/36321306/' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') img = soup.select_one('.nbg img') img_...

import requests from bs4 import BeautifulSoup url="https://www.shu.edu.cn/" headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'} response = requests.get(url, headers=headers) html=response.text soup=BeautifulSoup(html,"lxml") content_all=soup.find_all("a") for content in content_all: contentstring=content.text if contentstring!=None: print(contentstring)这段代码解析出来的是乱码

from bs4 import BeautifulSoup url = "https://www.shu.edu.cn/" headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/...

以下代码爬取的内容是乱码，什么原因？from bs4 import BeautifulSoup import requests if name == 'main': url = 'https://www.pincai.com/article/2320333.htm' response = requests.get(url).text soup = BeautifulSoup(response, 'lxml')。帮我修改好代码

from bs4 import BeautifulSoup import requests if __name__ == '__main__': url = 'https://www.pincai.com/article/2320333.htm' response = requests.get(url) response.encoding = 'utf-8' soup = ...

import requests from bs4 import BeautifulSoup url = 'https://b.guidaye.com/changxiao/9948/540774.html' def getContent(url): response = requests.get(url).content.decode('utf-8') soup = BeautifulSoup(response,'html.parser') content = soup.find('div',class_='mb2').text content = content.replace(' ',' ') content = content.replace(' ',' ') return content print(getContent(url))对吗

from bs4 import BeautifulSoup url = 'https://b.guidaye.com/changxiao/9948/540774.html' def getContent(url): try: response = requests.get(url).content.decode('utf-8') soup = BeautifulSoup...

import requests from bs4 import BeautifulSoup url = 'https://b.guidaye.com/changxiao/9948/540774.html' def getContent(url): response = requests.get（URL）.content.decode（'utf-8') soup = BeautifulSoup(response,'html.parser') content = soup.find('div',class_='mb2').text content = content.replace(' ',' ') content = content.replace(' ',' ') return content print(getContent(url))哪里出问题了

from bs4 import BeautifulSoup url = 'https://b.guidaye.com/changxiao/9948/540774.html' def getContent(url): response = requests.get(url).content.decode('utf-8') soup = BeautifulSoup(response,'...

import requests from bs4 import BeautifulSoup import re # 访问网页 url = 'http://lab1.xseclab.com/xss2_0d557e6d2a4ac08b749b61473a075be1/index.php' res = requests.get(url) # 解析 HTML soup = BeautifulSoup(res.text, 'html.parser') form = soup.find('form') question = form.find('div', {'class': 'col-xs-12 col-sm-9'}).text.strip() print(question) # 计算答案 pattern = re.compile(r'\d+') nums = pattern.findall(question) result = eval(nums[0] + nums[1] + nums[2]) print(result) # 提交答案 data = {'v': result} res = requests.post(url, data=data) # 获取 flag soup = BeautifulSoup(res.text, 'html.parser') flag = soup.find('div', {'class': 'alert alert-success'}).text.strip() print(flag)

4. 计算数字的和，并将结果提交到表单中。 5. 使用 BeautifulSoup 库解析提交后的 HTML 内容，找到包含 flag 的元素，并提取其中的文本。这段代码的作用是模拟用户在网页中回答问题获取 flag 的过程。

import requestsfrom bs4 import BeautifulSoup# 请求页面并获取页面内容url = "https://www.example.com"response = requests.get(url)html = response.text# 使用BeautifulSoup解析页面soup = BeautifulSoup(html, "html.parser")# 获取需要的信息info = soup.find("div", {"class": "info"})print(info.text)

4. 使用find()函数查找指定的标签，并获取该标签的文本内容。 5. 打印获取到的文本内容。需要注意的是，这个代码只是一个简单的示例，实际爬虫代码需要考虑到各种情况，如反爬虫措施、异常处理、数据存储等。

import requests from bs4 import BeautifulSoup r = requests.get("http://www.zjsru.cn") r.encodings = "utf-8" soup = BeautifulSoup(r.text) # print(soup.head) # print(soup.find_all('')) print(soup.find_all('div',{'class':"hd-ul-tt txt-elise"}))

这段代码的作用是爬取“http://www.zjsru.cn”网站的内容，并使用BeautifulSoup库对其进行解析。其中，使用requests库发送请求，获取网站的HTML内容，然后使用BeautifulSoup库解析HTML内容。最后，输出所有class属性...

帮我写程序分析import requests from bs4 import BeautifulSoup url = 'https://so.gushiwen.cn/gushi/tangshi.aspx' response = requests.get(url) html = response.text soup = BeautifulSoup(html, 'lxml') count = soup.find_all('div',{'class':'typecont'}) tnt = 0 for t in count: bookMl = t.find('div',{'class':'bookMl'}) span = t.find_all('span') # print() tnt += len(span) print('唐诗数量为：{}'.format(tnt))

程序首先使用requests库，获取指定url的网页内容，然后将其解析成BeautifulSoup对象。之后，程序查找class为typecont的div元素，并使用for循环对它们进行遍历。对于每个typecont元素，程序再分别查找其中class为...

import requests from bs4 import BeautifulSoup url = "https://movie.douban.com/top250" response = re

from bs4 import BeautifulSoup导入了BeautifulSoup库，它是一个强大的HTML和XML解析器，可以帮助我们从HTML文件中提取数据。这里的url = "https://movie.douban.com/top250"指定了要抓取的豆瓣电影Top250页面...

import requests from bs4 import BeautifulSoup response = requests.get('https://www.baidu.com') soup = BeautifulSoup(response.content, 'html.parser') import csv import requests from bs4 import BeautifulSoup # 构造请求头 headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'} # 爬取数据 url = 'http://www.pm25.in/shandong' response = requests.get(url, headers=headers) soup = BeautifulSoup(response.content, 'html.parser') # 获取指数数据 data_list = [] for tr in soup.find_all('tr')[1:]: tds = tr.find_all('td') aoi = tds[0].text pm25 = tds[1].text pm10 = tds[2].text co = tds[3].text so2 = tds[4].text no2 = tds[5].text o3 = tds[6].text data_list.append([aoi, pm25, pm10, co, so2, no2, o3]) # 保存为csv文件 with open('shandong.csv', 'w', newline='', encoding='utf-8') as f: writer = csv.writer(f) writer.writerow(['AOI指数', 'PM2.5指数', 'PM10指数', '一氧化碳含量指数', '二氧化硫含量指数', '二氧化氮含量指数', '臭氧含量指数']) writer.writerows(data_list)

这段代码的作用是爬取山东省2022年的空气质量指数数据，并将数据保存为csv格式的文件。首先导入了 requests 和 BeautifulSoup 这两个库，requests 用于发送 HTTP 请求，BeautifulSoup 用于解析 HTML 内容。然后...

from bs4 import BeautifulSoup soup1 = BeautifulSoup(open("index.html"),features='lxml') print(soup1.prettify())

首先导入了BeautifulSoup模块，然后使用open函数打开名为"index.html"的文件，并使用lxml解析器来解析HTML。接着将解析后的HTML文件转换为Unicode编码，并使用prettify()方法美化输出，最后将结果打印出来。这样能够...

import requestsfrom bs4 import BeautifulSoup# 发送 GET 请求获取网页内容url = 'https://buff.163.com/market/goods?goods_id=35864&from=market#tab=selling'res = requests.get(url)# 使用 BeautifulSoup 解析 HTMLsoup = BeautifulSoup(res.text, 'html.parser')# 查找手套武器箱价格并打印price = soup.find('span', {'class': 'price'}).textprint('手套武器箱价格为：' + price)

这段代码的问题在于第一行 import requestsfrom bs4 import BeautifulSoup，requests 和 bs4 库的导入应该在两行中分开导入，即应该写成： python import requests from bs4 import BeautifulSoup # 发送...

import requests from bs4 import BeautifulSoup import re import json def getKeywordResult(keyword): url = 'http://www.baidu.com/s?wd='+keyword try: r = requests.get(url, timeout=30) r.raise_for_status() r.encoding = 'utf-8' return r.text except: return "" def parserLinks(html): soup = BeautifulSoup(html, "html.parser") links = [] for div in soup.find_all('div', {'data-tools': re.compile('title')}): data = div.attrs['data-tools'] #获得属性值 d = json.loads(data) #将属性值转换成字典 links.append(d['title']) #将返回链接的题目返回 return links def main(): html = getKeywordResult('Python语言程序设计基础(第2版)') ls = parserLinks(html) count = 1 for i in ls: print("[{:^3}]{}".format(count, i)) count += 1 main()

这段代码的作用是在百度搜索中搜索关键词"Python语言程序设计基础(第2版)"，然后解析搜索结果页面中的链接和标题，并将这些标题列成一个列表进行输出。具体来说，这段代码使用了 requests 库向百度搜索发送了一个 ...

pip install beautifulsoup4 pip install lxml from bs4 import BeautifulSoup soup=BeautifulSoup(HTML,'lxml')

from bs4 import BeautifulSoup 这一行导入了BeautifulSoup模块，并将其别名设为BeautifulSoup，使得我们可以在代码中直接使用BeautifulSoup函数创建一个BeautifulSoup对象。 soup=BeautifulSoup(HTML,'lxml')...

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以下代码爬取的内容是乱码，什么原因？from bs4 import BeautifulSoup import requests if name == 'main': url = 'https://www.pincai.com/article/2320333.htm' response = requests.get(url).text soup = BeautifulSoup(response, 'lxml')。帮我修改好代码

import requests from bs4 import BeautifulSoup r = requests.get("http://www.zjsru.cn") r.encodings = "utf-8" soup = BeautifulSoup(r.text) # print(soup.head) # print(soup.find_all('')) print(soup.find_all('div',{'class':"hd-ul-tt txt-elise"}))

import requests from bs4 import BeautifulSoup url = "https://movie.douban.com/top250" response = re

from bs4 import BeautifulSoup soup1 = BeautifulSoup(open("index.html"),features='lxml') print(soup1.prettify())

pip install beautifulsoup4 pip install lxml from bs4 import BeautifulSoup soup=BeautifulSoup(HTML,'lxml')

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